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Security Audit

jnMetaCode/superpowers-zh:skills/systematic-debugging

github.com/jnMetaCode/superpowers-zh
AI SkillCommit 03baa7805d2c
68
CAUTION
Scanned 5 days ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

jnMetaCode/superpowers-zh:skills/systematic-debugging received a trust score of 68/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 0 critical, 2 high, 1 medium, and 0 low severity. Key findings include Command Injection in `find` command via `TEST_PATTERN`, Command Injection in `ls` command via `POLLUTION_CHECK`, Secondary Command Injection in `npm test` via `TEST_FILE`.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 63/100, indicating areas for improvement.

Last analyzed on March 25, 2026 (commit 03baa780). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
63%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
3 findings
Dynamic Code
3 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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